Skip to main content

Importance-Performance Analysis of In-Room Technology Amenities in Hotels

  • Conference paper
Information and Communication Technologies in Tourism 2010

Abstract

Given that technology amenities are integral to a hotel stay, the purpose of this study is to evaluate the importance and performance of key in-room technology amenities, new and old. A random sample of 3,000 American travelers was chosen from a national database for this study. There were 534 complete responses with a response rate of 17.8%. The importanceperformance analysis by gender showed that top three important technologies for male travelers are express check-in/ check-out, high speed Internet access, and easily accessible electrical outlets while for female travelers the most important technologies are easily accessible electrical outlets, guest control panel, and high speed Internet access.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Ananth, M., DeMicco, F.J., Moreo, P.J., & Howey, R.M. (1992). Marketplace lodging needs of mature travelers. Cornell Hotel & Restaurant Administration Quarterly, 33, 12–24.

    Google Scholar 

  • Baumann, M. A. (1998). Surveys allow properties opportunity to improve guest retention. Hotel & Motel Management, 213, 40–41.

    Google Scholar 

  • Beldona, S., & Cobanoglu, C. (2007). Importance-performance analysis of guest technologies in the lodging industry. Cornell Hotel and Restaurant Administration Quarterly, 48(3), 299–312.

    Article  Google Scholar 

  • Breiter, D., & Milman, A. (2006). Attendees’ needs and service priorities in a large convention center: application of the importance-performance theory. Tourism Management, 27, 1354–1370.

    Article  Google Scholar 

  • Brewer, P., Kim, J., Schrier, T., & Farrish, J. (2008). Current and future technology use in the hospitality industry. American Hotel and Lodging Association. Retrieved from http://www.ahla.com/membersonly/content.aspx?id=5964

    Google Scholar 

  • Chang, H.-L., & Yang, C.-H. (2008). Do airline self-service kiosks meet the needs of passengers? Tourism Management, 29, 980–993.

    Article  Google Scholar 

  • Chathoth, P. (2007). The impact of information technology on hotel operations, service management and transaction costs: A conceptual framework for full-service hotel firms. International Journal of Hospitality Management, 26(2), 395–408.

    Article  Google Scholar 

  • Christensen, C. M. (1997). The innovator’s dilemma. Boston: Harvard Business School Press.

    Google Scholar 

  • Chu, R. K. S., & Choi, T. (2000). An importance-performance analysis of hotel selection factors in the Hong Kong hotel industry: a comparison of business and leisure travelers. Tourism Management, 21(4), 363–377

    Article  Google Scholar 

  • Cobanoglu, C. (2001). Unpublished Thesis. Analysis of business travelers’ hotel selection and satisfaction. Oklahoma State University.

    Google Scholar 

  • Cobanoglu, C. (2009). Guests’ Top 7 Technologies. Hospitality Technology, 13(2), Retrieved March 3, 2009 from: http://www.htmagazine.com/ME2/dirmod.asp?sid=783D4AA2541D483C98659D20A3 539C6E&nm=Additional&type=MultiPublishing&mod=PublishingTitles&mid=3E1967 4330734FF1BBDA3D67B50C82F1&tier=4&id=69B3BB8904A443DC9FB713C5E947 21AF

    Google Scholar 

  • Cobanoglu, C., Ryan, B. & Beck, J. (1999). The impact of technology in lodging properties. International Council on Hotel, Restaurant, and Institutional Education Annual Convention Proceedings.

    Google Scholar 

  • Collins, G.R., & Cobanoglu, C. (2008). Hospitality information technology: Learning how to use it (6th ed.). Dubuque, IA: Kendall/Hunt Publishing Company.

    Google Scholar 

  • Farnum, J. O., & Hall, T.E. (2007). Exploring the utility of importance performance analysis using confidence interval and market segmentation strategies. Journal of Park and Recreation Administration, 25(2), 64–83.

    Google Scholar 

  • Fishbein, M., & Ajzen, I. (1975). Beliefs, attitudes, intentions, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.

    Google Scholar 

  • Ham, S., Kim, W. G., & Jeong, S. (2005). Effect of information technology on performance in upscale hotels. International Journal of Hospitality Management, 24(2), 281–294.

    Article  Google Scholar 

  • Hendricks, W. W., Schneider, I.E., & Budruk, M. (2004). Extending importance-performance analysis with benefit-based segmentation. Journal of Park and Recreation Administration, 22(1), 53–74.

    Google Scholar 

  • Higley, J. (2007). Keep technology working, make guests happy Questex Media Group.

    Google Scholar 

  • Hotels launch in-room fitness options. Chains to provide workout equipment for busy travelers. (2005). Retrieved from http://www.msnbc.msn.com/id/6975263/

    Google Scholar 

  • Howell, R. A., Moreo, P. J., & DeMicco, F. J. (1993). A qualitative analysis of hotel services desired by female business travelers. Journal of Travel and Tourism Marketing, 1(4), 115–133.

    Article  Google Scholar 

  • Hudson, S., Hudson, P., & Miller, G. A. (2004). The measurement of service quality in the tour operator sector: A methodological comparison. Journal of Travel Research, 42(2), 305–312.

    Article  Google Scholar 

  • Janes, P.L., & Wisnom, M.S. (2003). The use of importance performance analysis in the hospitality industry: a comparison of practices. Journal of Quality Assurance in Hospitality & Tourism, 4 (1/2), 23–45.

    Article  Google Scholar 

  • Kandampully, J., & Suhartanto, D. (2000). Customer loyalty in the hotel industry: The role of customer satisfaction and image. International Journal of Contemporary Hospitality Management, 12(6), 346–351.

    Article  Google Scholar 

  • Kasavana, M. L., & Cahill J.J. (2007). Managing technology in the hospitality industry (5th ed.). Lansing, MI: Educational Institute of the American Hotel and Lodging Association.

    Google Scholar 

  • Kotler, P, Bowen, J., & Makens, J. (2003). Marketing for hospitality and tourism (3rd ed.). Upper Saddle River, NJ: Pearson Education, Inc.

    Google Scholar 

  • Lazer, W., Dallas, M., & Riegel C. (2006). Hospitality and tourism marketing. Lansing, MI: Educational Institute of the American Hotel and Lodging Association.

    Google Scholar 

  • Lee, S.-C., Barker, S., & Kandampully, F. (2003). Technology, service quality, and customer loyalty in hotels: Australian managerial perspectives.

    Google Scholar 

  • Leong, C.C. (2008). An importance-performance analysis to evaluate airline service quality: the case study of a budget airline in Asia. Journal of Quality Assurance in Hospitality & Tourism, 8(3), 39

    Article  Google Scholar 

  • Lockyer, T. (2005). The perceived importance of price as one hotel selection dimension. Tourism Management, 26(4), 529–537.

    Article  Google Scholar 

  • Martilla, J. A., & James, J. C. (1977). Importance-performance analysis. Journal of Marketing, 41, (1), 77–79

    Article  Google Scholar 

  • Meng, F., Tepanon, Y., & Uysal, M. (2008). Measuring tourist satisfaction by attribute and motivation: the case of a nature-based resort. Journal of Vacation Marketing, 4(1), 41–56.

    Article  Google Scholar 

  • Munyan, R. (2008). Technology in the next generation of hotels. Lodging Hospitality, 64(16), 78–88.

    Google Scholar 

  • Oh, H., & Parks, S. C. (1997). Customer satisfaction and service quality: a critical review of the literature and research implications for the hospitality industry. Hospitality Research Journal, 20(3), 35–64.

    Google Scholar 

  • Olsen, M. D., Connolly, D. J., & Allegro, S. M. (February 2000). The Hospitality Industry and Digital Economy. International Hotel and Restaurant Association, Lausanne.

    Google Scholar 

  • Olsen, M. D., & West J. J. (2008). Strategic Management: in the Hospitality Industry. Upper Saddle River, NJ: Pearson Education, Inc.

    Google Scholar 

  • O’Neill, M. (2001). Service quality management in hospitality, tourism, and leisure, measuring service quality and customer satisfaction. New York, NY: The Haworth Hospitality Press.

    Google Scholar 

  • Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12–40.

    Google Scholar 

  • Piccoli, G., & Torchio, P. (2006). The strategic value of information: A manager’s guide to profiting from information. Cornel Hospitality Report, 7(6).

    Google Scholar 

  • Prayukvong, W., Sophon, J., Hongpukdee, S., & Charupas, T. (2007). Customers’ satisfaction with hotel guestrooms: A case study in ubon rachathani province, thailand. Asia Pacific Journal of Tourism Research, 12(2), 119–126.

    Article  Google Scholar 

  • Rylander, R. G., Propst, D. B., and McMurtry, T. R. (1995). Nonresponse and recall biases in a survey of traveler spending. Journal of Travel Research, 33 (4), 39–45.

    Article  Google Scholar 

  • Shanka, T., & Taylor, R. (2003). An investigation into the perceived importance of service and facility attributes of hotel satisfaction. Journal of Quality Assurance in Hospitality and Tourism, 3/4(4), 119–134.

    Google Scholar 

  • Siguaw, J., Enz, C., & Namasivayam, K. (2000). The adoption of information technology in U.S. hotels: Strategically driven objectives. Journal of Travel Research, 39, 192.

    Article  Google Scholar 

  • Singh, A.J., & Kasavana, M. L. (2005). The Impact of Information Technology on Future Management of Lodging Operations, Journal of Tourism and Hospitality Research, 6(1), 24–37

    Article  Google Scholar 

  • Skogland, I., & Siguaw, J.A. (2004). Understanding switchers and stayers in the lodging industry. Cornell Hospitality Report, 1(4).

    Google Scholar 

  • Squires, M. (2008). Technology changes lodging workforce. Lodging Hospitality, 64(16), 89–94.

    Google Scholar 

  • Suh, E., & Erdem, M. (2009). Gap analysis as a diagnostic tool for improving the slot gaming experience. Journal of Hospitality Marketing & Management, 18, 445–455.

    Article  Google Scholar 

  • Torres, E. N. & Kline, S. F. (2006) An empirical study of customer delight in the hotel industry: preliminary findings. Proceedings of the Eleventh Annual Graduate Education and Graduate Student Research Conference in Hospitality and Tourism, Seattle, WA.

    Google Scholar 

  • Verma, R. Plashka, G, Dev, C., & Verma A. (2002). What today’s travelers want when they select a hotel. HSMAI Marketing Review, Fall 2002, 20–23.

    Google Scholar 

  • Verma, R., Victorino, L., Karniouchina, K., & Feickert, J. (2007). Segmenting hotel customers based on technology readiness index. Cornell Hospitality Report. 7(13).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag/Wien

About this paper

Cite this paper

Berezina, E., Cobanoglu, C. (2010). Importance-Performance Analysis of In-Room Technology Amenities in Hotels. In: Gretzel, U., Law, R., Fuchs, M. (eds) Information and Communication Technologies in Tourism 2010. Springer, Vienna. https://doi.org/10.1007/978-3-211-99407-8_3

Download citation

Publish with us

Policies and ethics